A Computational Approach to Parameter Identification of Spatially Distributed Nonlinear Systems with Unknown Initial Conditions (CROSBI ID 619420)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kasać, Josip ; Milić, Vladimir ; Stepanić, Josip ; Mester, Gyula
engleski
A Computational Approach to Parameter Identification of Spatially Distributed Nonlinear Systems with Unknown Initial Conditions
In this paper, a high-precision algorithm for parameter identification of nonlinear multivariable dynamic systems is proposed. The proposed computational approach is based on the following assumptions: a) system is nonlinearly parameterized by a vector of unknown system parameters ; b) only partial measurement of system state is available ; c) there are no state observers ; d) initial conditions are unknown except for measurable system states. The identification problem is formulated as a continuous dynamic optimization problem which is discretized by higher-order Adams method and numerically solved by a backward-in-time recurrent algorithm which is similar to the backpropagation-through-time (BPTT) algorithm. The proposed algorithm is especially effective for identification of homogenous spatially distributed nonlinear systems what is demonstrated on the parameter identification of a multi-degree-of-freedom torsional system with nonlinearly parameterized elastic forces, unknown initial velocities and positions measurement only.
Spatially Distributed Nonlinear Systems; Parameter Identification; Dynamic Optimization
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
2014.
objavljeno
Podaci o matičnoj publikaciji
2014 IEEE Symposium Series on Computational Intelligence
Institute of Electrical and Electronics Engineers (IEEE)
978-1-4799-4465-1
Podaci o skupu
IEEE Symposium Series on Computational Intelligence
predavanje
09.12.2014-12.12.2014
Orlando (FL), Sjedinjene Američke Države